FDA Radiology AI Devices

The uMR Omega is a 3.0 Tesla superconducting MRI system designed for producing high-quality cross-sectional images and spectroscopic images of the head, body, and extremities. It helps clinicians diagnose by providing detailed anatomical and functional images that can be interpreted by trained physicians. This device is designed to meet industry imaging standards and includes advanced components such as RF coils and gradient amplifiers to ensure high image quality.

MAGNETOM Terra and MAGNETOM Terra.X are advanced 7 Tesla MRI systems by Siemens designed for capturing high-quality magnetic resonance images primarily of the head and extremities. Equipped with enhanced hardware and AI-based software (Deep Resolve Boost, Sharp, and RxE), these devices improve image quality and reconstruction speed, helping radiologists obtain clearer diagnostic images faster, thus supporting better patient diagnosis and care.

MAGNETOM Cima.X Fit is a magnetic resonance imaging (MRI) system by Siemens that produces detailed cross-sectional images of the body, head, or extremities. It incorporates AI-driven software features to enhance image quality and accelerate scanning, helping clinicians diagnose by providing clearer and faster MRI scans.

The SIGNA Champion is a 1.5 Tesla whole body magnetic resonance imaging (MRI) scanner designed to produce high-resolution diagnostic images quickly. It can image multiple body regions including the head, neck, spine, chest, abdomen, pelvis, joints, and more, using various scan planes and sequences to help physicians diagnose medical conditions. It supports advanced imaging techniques and uses standard MRI technology enhanced by new software and hardware components to improve image quality and workflow.

MAGNETOM Sola and MAGNETOM Altea are advanced MRI systems designed to produce high-quality transverse, sagittal, coronal, and oblique cross-sectional images. They include AI-powered features such as Deep Resolve Boost and Deep Resolve Sharp for enhanced image reconstruction, improving image quality and diagnostic accuracy. These systems assist clinicians in diagnosis by providing improved visualization of internal structures and functions across the head, body, and extremities, and can also be used during MR-guided interventional procedures.

MAGNETOM Cima.X is an advanced magnetic resonance imaging (MRI) system designed to produce detailed images and spectroscopic data of the head, body, and extremities. It incorporates new and modified hardware and software features including deep learning-based reconstruction methods to enhance image quality and speed, helping clinicians in diagnosis and interventional imaging procedures.

MAGNETOM Avanto fit and MAGNETOM Skyra fit are advanced MRI systems designed by Siemens that provide high-quality magnetic resonance imaging. These devices produce detailed cross-sectional images as well as spectroscopic data of the head, body, and extremities, helping physicians diagnose a variety of conditions and support imaging during interventional procedures with MR compatible devices.

MAGNETOM Free.Max and MAGNETOM Free.Star are magnetic resonance diagnostic devices produced by Siemens that generate high-quality MRI images of the head, body, or extremities in multiple planes. These systems assist clinicians in diagnosis and can be used during interventional procedures with MR-compatible tools. They incorporate advanced AI-powered features to enhance image quality and scanning efficiency.

The MAGNETOM Vida, Lumina, Aera, Skyra, Prisma, and Prisma fit are advanced magnetic resonance imaging (MRI) systems designed to produce detailed cross-sectional and spectroscopic images of the body, head, and extremities. Equipped with new hardware and software improvements including AI-based image reconstruction techniques, these systems help clinicians obtain high-quality images to assist in diagnosis and interventional procedures.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a portable, ultra-low field MR imaging device designed to produce images of the internal structures of the head. It uses deep learning algorithms to improve image quality by reducing noise and blurring, helping clinicians at the point of care obtain diagnostic information even when full diagnostic exams are impractical.